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and validate developed methods on embedded platforms and sensor prototypes. Collaborate with experts in embedded systems, digital IC design, and applications to realize end-to-end human–computer
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standards. One crucial element to combat the endemic of healthcare-associated infections is being able to trace and track the transmission pathways of pathogens to develop effective interventions. There is a
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the efficiency in the end use. In addition, the electric energy grid is rebuilt and extended to incorporate these changes and aims to use only environmentally friendly components. Job description SF6 is today
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analyses. A core part of your project will be interpreting the data and developing scientific hypotheses about the atmospheric processes that control the cycling of selenium and other trace elements. You
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) The Materials Theory Group in the Materials Department is recruiting one fully-funded doctoral student to work under the supervision of Prof. Claude Ederer on the development and application of advanced
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: collaboration partners: J. Löffler, ETH Zürich; K. Klein, Universität Zürich; R. Müller, ETH Zürich, B. Schaller, Universitätsspital Bern) focusing on the development of advanced organotypic in vitro bone models
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Simulation Framework The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational tools. Our group
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team from various backgrounds with a large knowledge base. We conduct research on Li-Ion batteries ranging from material development, structural analysis with x-ray techniques, to digital modeling and
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exploit or take inspiration from quantum physics to develop cutting-edge machine learning? Your work will encompass a diverse array of concepts at the intersection of artificial intelligence, condensed
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for sustainable mobility and the strategic placement of car sharing stations is crucial to maximize user adoption. Using causal effect estimation and spatially aware predictive methods, tools will be developed